Samsung Galaxy S24+
Geekbench AI Score
2404
Single Precision Score
2372
Half Precision Score
3488
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 07 2025 09:23 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24+ |
| Model ID | samsung SM-S9260 |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2303
428.2 IPS |
|
|
Image Classification (HP)
|
100% |
2341
435.3 IPS |
|
|
Image Classification (Q)
|
100% |
3149
585.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2665
43.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2654
43.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3745
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4015
4.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
4023
4.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
7947
9.42 IPS |
|
|
Object Detection (SP)
|
98% |
1754
139.6 IPS |
|
|
Object Detection (HP)
|
98% |
1738
138.3 IPS |
|
|
Object Detection (Q)
|
83% |
2237
180.7 IPS |
|
|
Face Detection (SP)
|
100% |
3320
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
3443
40.9 IPS |
|
|
Face Detection (Q)
|
95% |
5462
65.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3251
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3299
25.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5231
47.9 IPS |
|
|
Style Transfer (SP)
|
89% |
8473
11.0 IPS |
|
|
Style Transfer (HP)
|
89% |
8404
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15122
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1639
60.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1667
61.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3766
139.6 IPS |
|
|
Text Classification (SP)
|
100% |
653
871.3 IPS |
|
|
Text Classification (HP)
|
99% |
698
931.9 IPS |
|
|
Text Classification (Q)
|
88% |
1123
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1529
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1173
20.2 IPS |
|
|
Machine Translation (Q)
|
50% |
696
24.7 IPS |
